Digital Library
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, Oct. 2020
Code Visualization Approach for Low level Power Improvement via Identifying Performance Dissipation
Hyun Sik An, Bokyung Park, R.Young Chul Kim, Ki Du Kim
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 213-220, Oct. 2020
https://doi.org/10.3745/KTCCS.2020.9.10.213
Keywords: low power, Performance Visualization, Refactoring, Code Smell
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 213-220, Oct. 2020
https://doi.org/10.3745/KTCCS.2020.9.10.213
Keywords: low power, Performance Visualization, Refactoring, Code Smell
A Study on Scalability of Profiling Method Based on Hardware Performance Counter for Optimal Execution of Supercomputer
Jieun Choi, Guenchul Park, Seungwoo Rho, Chan-Yeol Park
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 221-230, Oct. 2020
https://doi.org/10.3745/KTCCS.2020.9.10.221
Keywords: Profiling, scalability, Supercomputer, Hardware Performance Counter, job scheduling
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 221-230, Oct. 2020
https://doi.org/10.3745/KTCCS.2020.9.10.221
Keywords: Profiling, scalability, Supercomputer, Hardware Performance Counter, job scheduling
CNN-Based Novelty Detection with Effectively Incorporating Document-Level Information
Seongung Jo, Heung-Seon Oh, Sanghun Im, Seonho Kim
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 231-238, Oct. 2020
https://doi.org/10.3745/KTCCS.2020.9.10.231
Keywords: Deep Learning, CNN, Novelty Detection
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 231-238, Oct. 2020
https://doi.org/10.3745/KTCCS.2020.9.10.231
Keywords: Deep Learning, CNN, Novelty Detection
Construction of Artificial Intelligence Training Platform for Multi-Center Clinical Research
Lee Chung-Sub, Kim Ji-Eon, No Si-Hyeong, Kim Tae-Hoon, Yoon Kwon-Ha, Jeong Chang-Won
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 239-246, Oct. 2020
https://doi.org/10.3745/KTCCS.2020.9.10.239
Keywords: DICOM, Radiology_CDM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 239-246, Oct. 2020
https://doi.org/10.3745/KTCCS.2020.9.10.239
Keywords: DICOM, Radiology_CDM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning